Full-Stack Web Application Development Complete web applications — modern frontend, robust backend, database and cloud deployment — delivered as one accountable engagement.
• Responsive Next.js/React frontend with Tailwind CSS • TypeScript REST or GraphQL API built on NestJS • PostgreSQL / MongoDB schema design and migrations • Authentication, roles and permissions (JWT / OAuth) Multi-tenant SaaS platforms with subscription billing, analytics and infrastructure designed to scale from first customer to thousands.
• Multi-tenant data model and access control • Stripe / SSLCommerz subscription billing, invoices and webhooks • Onboarding flows, team management and role-based access • Background job processing (queues, schedulers, email/SMS notifications)
Backend & API Development (Node.js / NestJS) Scalable REST APIs, microservices and real-time systems in TypeScript — the core competence behind everything else I build.
• REST API design with OpenAPI/Swagger documentation • NestJS modules, guards, validation and testing • Microservices and event-driven architecture (queues, pub/sub) • Real-time features with WebSockets / Socket.IO MVP Development for Startups A focused, launch-ready product in 4–8 weeks — built on a foundation that will not need rewriting when you find traction.
• Discovery workshop and written scope with milestones • Core user flows, authentication and payments • Admin panel and basic analytics • Deployed staging and production environments API Integration & Workflow Automation Connect payments, CRMs, project tools and custom APIs so data flows automatically and your team stops doing manual work.
• Payment gateway integration (Stripe, SSLCommerz, bKash) • CRM / project-tool sync (HubSpot, Jira, Asana, Trello, Slack) • Webhook receivers with retry, idempotency and monitoring • Zapier / Make custom apps and scheduled jobs AI & LLM Integration (RAG, Chatbots, Automation) Practical AI features on top of your own data — RAG search, support assistants and LLM automation — engineered for accuracy and cost control.
• RAG pipeline: chunking, embeddings, pgvector search, re-ranking • Chat assistants with streaming responses and conversation memory • LLM-powered classification, extraction and summarisation jobs • Prompt management, evaluation and cost monitoring